Parsing of sentences

[seoanalytics]

Why do search engine parse sentences ?

[effectdigital]

That is correct, final input would be 'how popular the content becomes', e.g backlinks

1. target what you will write about

2. write well

3. if it's good enough, links spawn

4. SEO growth

By the way, sometimes you have to write hundreds of posts before one gets picked up. But when it does (in a big way), you really do see the benefit

[seoanalytics]

Conclusion once you have the words it all comes done to how you write. Good topic sentence with supporting sentence. Otherwise it won't work !

[effectdigital]

And that sir, is why SEO people, analysts and contextual content specialists are still needed. Tools can be handy and act as a 'radar' to draw your attention to certain areas, but those signals can be very misleading and it takes an intelligent human mind to really get to the bottom of things

If you use a lot of synonym terms, Google will eventually 'get' that you are 'circling' around a designated search entity. However on the other hand, there's no doubt that including the 'actual' word at least once in some prominent areas, could really help (what's more accurate, looking at a person or looking at a reflection of a person?) - it's more direct

You do mention Porto, but not very prominently. Your itinerary has sub headings ("Day1", "Day 2" etc). What I would suggest would be that, those sub headings which form the accordion-text nav, be expanded to be richer. So instead of having "Day 3" you might have "Day 3 - Porto, Girolata & Natural Beauty" (or similar)

Your content does 'mention' Porto, so there's no error. But to rank well for that term, your page would have to be 'mostly about' or 'significantly about' "Porto". I am guessing your real aim is "Bike tours in Porto" (or similar). If the CMS can't support the customisation of that text, then that's something I'd look into ASAP as it could be a quick win (or at least, a quick-beneficiary)

Remember that tools like Moz do NOT look at content in the same detail which Google does. They mostly just count flat word instances, they don't really (IMO) leverage significant AI or ML components to boil these elements down and 'understand' them

If you think the comment from Moz is not relevant, ignore it. Otherwise play around with the layout and CMS as I have suggested

[seoanalytics]

I agree with you.

So my final question is how can MOZ content suggestions tell me that on this page https://bit.ly/2RH7PLp

I have covered "Balagne" but not "Porto".  I have words such a Scandola Nature Reserve, Girolata, Calanques de Piana , red local granite and all those are words related to "Porto" (the town in Corsica) so there is something I am missing and maybe you can help. I  believe it has to do with the way I write ? (structure of my sentences he way the sentences in the paragraph go with each other etc...)

[effectdigital]

Connecting interrelated entities within a sentence, is actually not a study of grammar at all so at that point the rules become somewhat irrelevant. It's more a study of pattern recognition and keyword patterning

Search engines DO NOT consider grammatical rules, and keyword relevance to be the same thing - they think of them differently. Following grammatical rules may speak for the 'quality' of the content, but gives Google zero idea in terms of what the content is about. It's only when the content is broken down into its elements, that it can be studied by mathematical algorithms and the relevant axioms of the content may be determined

[seoanalytics]

Thank you for the reply but how do you connect entities in a sentence. Isn't there a specific format for structuring a sentence ?

It seems that it all start with a good topic sentence where the topic I am focusing is understood because of a clear semantic connection. Then I add the related words in the paragraph. However, if I don't have a good semantic connection in my topic sentence the search engine won't rank me even though I have the related words below because it would be like stuffing words in my content.

[effectdigital]

Assumedly to:

"divide (a sentence) into grammatical parts and identify the parts and their relations to each other"

If sentences are not broken down into their constituent elements, it would be difficult for a mechanical mind to 'interpret' the data. I assume that different kinds of content (spam content, shallow content, copy, long-form copy, 10x content) tend to form certain patterns (such as spam content mostly being composed of loosely if non-connected thematic entities, and many joining words). I guess it helps sub-algorithms like Panda to evaluate copy and text-based content

Browsers were parsing HTML long before Google, parsing is simply "the process of analysing a string of symbols, either in natural language or in computer languages__, according to the rules of a formal grammar." (source).  Language and grammar, bot have rule-sets (e.g: always close your tags in HTML, or 'don't write "and" immediately following a comma, do not start sentences with "and"). Parsing text allows HTML and websites to be rendered, but it also allows for semantic evaluation of content